Rapid identification of volatile organic compounds and their isomers in the atmosphere

Xinglong ZHANG; Yifan GE; Enlai WAN; Yuzhu LIU; Jinping YAO

doi:10.1088/2058-6272/ac639b

Plasma Science and Technology > 2022 > 24(8): 084002. > DOI: 10.1088/2058-6272/ac639b

Xinglong ZHANG, Yifan GE, Enlai WAN, Yuzhu LIU, Jinping YAO. Rapid identification of volatile organic compounds and their isomers in the atmosphere[J]. Plasma Science and Technology, 2022, 24(8): 084002. DOI: 10.1088/2058-6272/ac639b

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Rapid identification of volatile organic compounds and their isomers in the atmosphere

1.
Jiangsu Key Laboratory for Optoelectronic Detection of Atmosphere and Ocean, Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing 210044, People's Republic of China
2.
Jiangsu International Joint Laboratory on Meteorological Photonics and Optoelectronic Detection, Nanjing University of Information Science & Technology, Nanjing 210044, People's Republic of China
3.
State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, People's Republic of China

More Information

Corresponding author:
Yuzhu LIU, E-mail: yuzhu.liu@gmail.com

Jinping YAO, E-mail: jinpingyao@siom.ac.cn
Received Date: December 08, 2021
Revised Date: March 30, 2022
Accepted Date: April 01, 2022
Available Online: December 10, 2023
Published Date: June 28, 2022

Graphical Abstract

Abstract

Abstract

Isomers are widely present in volatile organic compounds (VOCs), and it is a tremendous challenge to rapidly distinguish the isomers of VOCs in the atmosphere. In this work, laser-induced breakdown spectroscopy (LIBS) technology was developed to online distinguish VOCs and their isomers in the air. First, LIBS was used to directly detect halogenated hydrocarbons (a typical class of VOCs) and the characteristic peaks of the related halogens were observed in the LIBS spectra. Then, comparing the LIBS spectra of various samples, it was found that for VOCs with different molecular formulas, although the spectra are completely the same in elemental composition, there are still significant differences in the relative intensity of the spectral lines and other information. Finally, in light of the shortcomings of traditional LIBS technology in identifying isomers, machine learning algorithms were introduced to develop the LIBS technique to identify the isomers of atmospheric VOCs, and the recognition results were very good. It is proved that LIBS combined with machine learning algorithms is promising for online traceability of VOCs in the atmospheric environment.
- LIBS,
- VOCs,
- isomer,
- machine learning

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Acknowledgments

This work was supported by National Natural Science Foundation of China (No. U1932149), the Natural Science Foundation of Jiangsu Province (No. BK20191395) and the Natural Science Foundation of the Higher Education Institutions of Jiangsu Province of China (No. 18KJA140002). The authors are grateful to Dr Chaochao Qin for assistance with the structure optimization on the Gaussian09 program performed at Henan Normal University.

References (32)

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